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ML
2002
ACM
141views Machine Learning» more  ML 2002»
15 years 6 months ago
On the Existence of Linear Weak Learners and Applications to Boosting
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Shie Mannor, Ron Meir
PPSN
2010
Springer
15 years 5 months ago
Threshold Selection, Mitosis and Dual Mutation in Cooperative Co-evolution: Application to Medical 3D Tomography
Abstract. We present and analyse the behaviour of specialised operators designed for cooperative coevolution strategy in the framework of 3D tomographic PET reconstruction. The bas...
Franck Patrick Vidal, Evelyne Lutton, Jean Louchet...
ICMLA
2010
15 years 4 months ago
Boosting Multi-Task Weak Learners with Applications to Textual and Social Data
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...
PPOPP
2010
ACM
16 years 1 months ago
Thread to strand binding of parallel network applications in massive multi-threaded systems
In processors with several levels of hardware resource sharing, like CMPs in which each core is an SMT, the scheduling process becomes more complex than in processors with a singl...
Petar Radojkovic, Vladimir Cakarevic, Javier Verd&...
SAC
2008
ACM
15 years 6 months ago
Digital audio watermarking evaluation within the application field of perceptual hashing
Digital watermarking is a growing research area to mark digital content by embedding information into the content itself. Perceptual hashing is used to identify a specific content...
Andreas Lang, Jana Dittmann